| Literature DB >> 31252648 |
Óscar Rapado-González1,2,3, Ana Álvarez-Castro4, Rafael López-López3,5, José Iglesias-Canle4, María Mercedes Suárez-Cunqueiro6,7, Laura Muinelo-Romay8,9.
Abstract
Colorectal cancer (CRC) is one of the most common cancers and a leading cause of cancer-related deaths worldwide. Despite numerous advances in therapeutic approaches, this cancer has a poor prognosis when it is diagnosed at late stages. Therefore, the scientific effort is nowadays directed towards the development of new non-invasive and dynamic biomarkers to improve the survival expectancy of CRC patients. In this sense, deregulated expression of many miRNAs has been shown to play an important role for CRC carcinogenesis and dissemination. Noticeably, an increasing number of studies highlight that circulating miRNAs, including those traveling inside exosomes or those released by tumor cells into circulation, constitute a promising tool for early detection, prognosis and therapy selection of CRC. Therefore, in this review we focus on the clinical potential of blood circulating miRNAs as emerging biomarkers with high value to improve the clinical management of CRC patients, providing a deep and complete perspective of the realities and challenges to translate these biomarkers to the clinical context.Entities:
Keywords: circulating exosomes; circulating microRNAs; colorectal cancer; liquid biopsy; personalized therapy; tumor biomarkers
Year: 2019 PMID: 31252648 PMCID: PMC6679000 DOI: 10.3390/cancers11070898
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.639
Figure 1Clinical applications of circulating microRNAs (miRNAs) in colorectal cancer (CRC).
Figure 2List of circulating miRNAs reported in two or more studies for CRC diagnosis. These miRNAs were significantly deregulated in CRC compared to healthy individuals (p < 0.05). References are provided in Table S2.
Figure 3List of circulating miRNAs reported in one or more studies for CRC prognosis. These miRNAs were significantly associated with survival (p < 0.05). References are provided in Table S3.